Catches the exception from pickle.whichmodule() #112
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@@ Coverage Diff @@
## master #112 +/- ##
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+ Coverage 83.12% 83.66% +0.54%
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Files 2 2
Lines 551 557 +6
Branches 107 107
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+ Hits 458 466 +8
+ Misses 65 64 -1
+ Partials 28 27 -1
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Travis passes, the only thing that doesn't pass is a drop in coverage. If you want to make sure your case in spark is covered, I recommend adding a test. |
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Will give a shot. Thanks for your guidance. |
HyukjinKwon
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I just added the test cases. |
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Awesome, thank you @HyukjinKwon! |
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Thank you @rgbkrk! |
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This PR proposes to port apache/spark@d7223bb in PySpark into cloudpickle.
In short,
pickle.whichmodulecould fail, for example, in case ofsix- https://bitbucket.org/gutworth/six/issues/63/importing-six-breaks-pickling and it looks failed ingetattr.In such case, it looks nicer just to use
__main__for the module name, which I believe we use when we can't find the module rather than throwing an exception. True, it is rather a band-aid fix but I believe this could be more beneficial in practice.Please check out the details in https://bitbucket.org/gutworth/six/issues/63/importing-six-breaks-pickling and https://issues.apache.org/jira/browse/SPARK-16077